Automatic bug repair
System fixes bugs by importing functionality from other programs — without access to source code.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
Amplifying small motions in large motions
Video-processing algorithm magnifies motions indiscernible to naked eye, even in moving objects.
Centimeter-long origami robot
Controlled by magnetic fields, tiny robot climbs inclines, swims, and carries loads twice its weight.
Robotics competition generated groundbreaking research
MIT team based robotic control algorithms on cutting-edge theory.
Longstanding problem put to rest
Proof that a 40-year-old algorithm is the best possible will come as a relief to computer scientists.
MIT team places sixth at international DARPA Robotics Challenge
CSAIL team just misses winning the grand prize after programming a 400-lb humanoid robot to lift beams, climb stairs, and drive a car.
Robotic challenger
MIT team prepares to meet 24 others in $2 million DARPA competition to develop disaster-assistance robots.
Helping robots put it all together
New algorithm lets autonomous robots divvy up assembly tasks on the fly.
Gauging materials’ physical properties from video
“Visual microphone” technology could lead to noninvasive identification of objects’ structural defects.
To handle big data, shrink it
Algorithm reduces size of data sets while preserving their mathematical properties.
Learn a language while you text
Graduate student's “WaitChatter” app teaches vocabulary during moments in between text and instant-message replies.
Removing reflections from photos taken through windows
New algorithm exploits multiple reflections in individual images to distinguish reflection from transmission.
Object recognition for free
System designed to label visual scenes according to type turns out to detect particular objects, too.
One way to reduce email stress: Re-invent the mailing list
New CSAIL system lets users customize the mailing-list experience by following and blocking users and “upvoting” messages.
How a computer can help your doctor better diagnose cancer
Model from MIT's Computer Science and Artificial Intelligence Laboratory aims to automatically distinguish lymphoma subtypes.